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Smart AI tool to separate portraits from backgrounds, generating transparent PNGs with custom size scaling support.
tools.portrait-background-removal.uploadText
Image (Supported formats: .jpeg, .jpg, .png, .webp)
Max 1 MB • Max 5 files
tools.portrait-background-removal.tip

Pixel to Millimeter Converter
根据PPI密度,将像素和毫米相互转换,支持自定义密度值,适用于UI设计和印刷排版。

PX to PT Converter
A pixel (PX) to point (PT) unit conversion tool for designers and developers. Supports custom PPI for typography and layout adaptation.

Random Color Generator
Provides controllable random color generation for designers and developers, supporting multiple formats and hue filtering.

Pixel to Centimeter Converter
输入像素值和PPI,实时换算为对应的厘米物理长度,同时支持厘米反推像素,适合平面设计、UI切图和印刷排版。

Pixel to Millimeter Converter
根据PPI密度,将像素和毫米相互转换,支持自定义密度值,适用于UI设计和印刷排版。

PX to PT Converter
A pixel (PX) to point (PT) unit conversion tool for designers and developers. Supports custom PPI for typography and layout adaptation.

Random Color Generator
Provides controllable random color generation for designers and developers, supporting multiple formats and hue filtering.

Pixel to Centimeter Converter
输入像素值和PPI,实时换算为对应的厘米物理长度,同时支持厘米反推像素,适合平面设计、UI切图和印刷排版。

PX to REM Converter
A bidirectional PX to REM converter for front-end developers and designers, featuring customizable root font sizes.
When you need to accurately separate a portrait from a cluttered background but dread the tedious manual editing process, our AI tool automatically detects and extracts the human subject, outputting a transparent PNG image. Portrait background removal is an image segmentation task in computer vision. By utilizing deep learning models to identify pixel-level portrait edges, even fine details like hair are clearly preserved.
Q: What image formats are supported?
A: We currently support JPG and PNG formats. The maximum file size is 5MB.
Q: How does the tool handle group photos?
A: The tool can detect multiple human bounding boxes and return position data, but the output will be a single cutout containing everyone. If you need to extract individuals separately, we recommend cropping the image and processing them one by one.
For the best results, ensure there is a clear color contrast between the portrait and the background. Scaling ratios above 2.0 may cause distortion. Users are responsible for the privacy of the original images uploaded.
For creating e-commerce assets or ID photos, we recommend using front-facing half-body shots with simple backgrounds. Set the output size to 500×500px while maintaining the aspect ratio to quickly get standard transparent assets. Typical example: Inputting a 1.5MB JPG lifestyle photo with a scale ratio of 0.8 outputs a 612×408px transparent PNG with natural edge transitions.